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Re: st: time-series data identified by three variables


From   yannan shen <yannan2010@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: time-series data identified by three variables
Date   Wed, 28 Nov 2012 01:32:27 -0500

I apologized for the typos in my question. Majority of that email was
written on my smart phone. I should have checked more carefully before
I sent it out.

On Wed, Nov 28, 2012 at 1:28 AM, yannan shen <yannan2010@gmail.com> wrote:
> Dear statalist,
> I am working some panel data of hospital visits and I want to learn
> the severity of various disease.
> The variables I have in the dataset are: patient_id, illness_id,
> date_of_visit, severity
> each observation contains: patient_id, illness_id, date_of_visit, severity.
>
> For each patient (identified by patient_id), I want to know how many
> of times he has visited for the same illness (illness_id ).
> I use the duple command to to label the observation of patients who
> have visited hospital more than once.
>
>> duplicates tag  patient_id illness_id , generate(duple)
>
> However, duple does not give information for any time series
> information. If a patient has 5 visiting records, I want to be able to
> know which is the 0th repeat, 1st repeat, 2nd repeat, 3rd repeat, and
> 4th repeat...I have a vague feeling that I can order those variables
> via date_of_visit but I am still not sure how exactly that can be
> done.
>
> Furthermore, I want to create two new variables: one variable equals
> to the average severity of each disease (disease_id) being treated on
> the same date_of_visit. The other variable equals the highest severity
> of a certain disease being treated on that day. (Ideally, I want to
> create additional variables for each observation)
>
> I have used “bysort” in the past but since now the type is a
> combination of illness_id and date_of_visit, I am a little confused.
> I appreciate your help and suggestions.
>
> Best,
>
> Y.S
>
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